Zobrazeno 1 - 10
of 35
pro vyhledávání: '"José E. Medina-Pagola"'
Publikováno v:
Intelligent Data Analysis. 24:3-14
Humans tend to organize information in documents in a logical and intentional way. This organization, which we call textual structure, is commonly in terms of sections, chapters, paragraphs, or sentences. This structure facilitates the understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95548966bf12dc1acb0d6f9667d84671
https://doi.org/10.3233/ida-200006
https://doi.org/10.3233/ida-200006
Autor:
Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Niusvel Acosta-Mendoza, Andrés Gago-Alonso, José E. Medina-Pagola
Publikováno v:
Applied Intelligence. 50:878-892
Recently, some algorithms have been reported for mining multi-graph Frequent Approximate Subgraphs (FASs). This kind of algorithm has a large applicability in social network analysis, image classification tasks and clustering, among others. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9d1a907776d74ca6a2a8ef4ee2b1b50
https://doi.org/10.1007/s10489-019-01564-8
https://doi.org/10.1007/s10489-019-01564-8
Publikováno v:
Knowledge-Based Systems. 235:107597
Making machines understand language and reasoning on it has been one of the most challenging problems addressed by Artificial Intelligent researchers. This challenge increases when figurative language is used for communicating complex meanings, inten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a559fdd5ac22ae3eb8eb20fbf80b1707
https://doi.org/10.1016/j.knosys.2021.107597
https://doi.org/10.1016/j.knosys.2021.107597
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3015-3026
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ed3f6438b684300585b60bbee6cf3cd
https://doi.org/10.3233/jifs-169486
https://doi.org/10.3233/jifs-169486
Publikováno v:
Revista Científica de Ingeniería Industrial, Vol 27, Iss 2-3 (2006)
En este artículo se presenta un nuevo modelo, denominado grafo de asociación, para mejorar la representación de documentos, facilitando su dimensión ontológica. Se explica cómo crear y usar este tipo de grafo. También se analiza una medida de
Externí odkaz:
https://doaj.org/article/e460498648634a21bcc416ec43f94a19
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Humans tend to organize information in documents in a logical and intentional way. This organization, which we call textual structure, is commonly in terms of sections, chapters, paragraphs, or sentences. This structure facilitates the understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c295f19def6843c07476977f2957a88
https://doi.org/10.1007/978-3-030-33904-3_8
https://doi.org/10.1007/978-3-030-33904-3_8
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
CIARP
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] Recognizing and classifying evaluative expressions is an important issue of sentiment analysis. This paper presents a corpus-based method for classifying attitude types (Affect, Judgment and Appreciation) and attitude orientation (positive and n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc18adbc06e34cce1105d812842a433
https://doi.org/10.1007/978-3-030-13469-3_112
https://doi.org/10.1007/978-3-030-13469-3_112
Autor:
José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José E. Medina-Pagola, Niusvel Acosta-Mendoza, Andrés Gago-Alonso
Publikováno v:
Engineering Applications of Artificial Intelligence. 50:215-225
In recent years, frequent approximate subgraph (FAS) mining has been used for image classification. However, using FASs leads to a high dimensional representation. In order to solve this problem, in this paper, we propose using emerging patterns for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0606affca5a30457528721a4696b8a12
https://doi.org/10.1016/j.engappai.2016.01.030
https://doi.org/10.1016/j.engappai.2016.01.030
Autor:
Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Niusvel Acosta-Mendoza, Andrés Gago-Alonso, José E. Medina-Pagola
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319921976
MCPR
MCPR
Frequent approximate subgraph (FAS) mining and graph clustering are important techniques in Data Mining with great practical relevance. In FAS mining, some approximations in data are allowed for identifying graph patterns, which could be used for sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e97d3c10b8b984e3a152397766683cd
https://doi.org/10.1007/978-3-319-92198-3_19
https://doi.org/10.1007/978-3-319-92198-3_19
Autor:
José E. Medina-Pagola, Andrés Gago-Alonso, Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
In data mining, frequent approximate subgraph (FAS) mining techniques has taken the full attention of several applications, where some approximations are allowed between graphs for identifying important patterns. In the last four years, the applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b62f6051d7a6c73ce678e2c9be113003
https://doi.org/10.1007/978-3-030-01132-1_15
https://doi.org/10.1007/978-3-030-01132-1_15